Roll for Initiative - How to Make the World of AI a More Ethical Place

סקירה כללית

סילבוס

• Course Introduction
Overview of AI and Ethics
Introduction to Algorithmic Bias
Course Logistics and Expectations
• Module 1: Understanding Algorithmic Bias
Defining Bias in AI
Examples of Bias in Different AI Systems
Case Studies of AI Failures
• Module 2: The Ethical Framework
Introduction to Ethical Theories
Ethical Decision-Making in AI Development
Key Ethical Issues in AI
• Module 3: Identifying and Assessing Bias
Techniques for Bias Detection
Tools and Frameworks for Assessing AI Fairness
Real-World Applications and Analysis
• Module 4: Strategies for Mitigating Bias
Data Collection and Curation Best Practices
Algorithm Design for Fairness
Transparency and Explainability in AI
• Module 5: Dungeons & Dragons Themed Scenarios
Introduction to D&D Themed Ethical Scenarios
Group Activity: Role-Playing Ethical Dilemmas
Discussion and Reflection on Scenario Outcomes
• Module 6: Policy and Governance
Regulations and Guidelines for Ethical AI
Industry Standards and Best Practices
The Role of Public Policy in AI Ethics
• Module 7: Building Equitable AI Systems
Inclusive Design Principles
Collaborative Strategies for Stakeholder Engagement
Long-term Monitoring and Accountability
• Module 8: The Future of Ethical AI
Emerging Trends in AI Ethics
Future Challenges and Opportunities
Vision for an Equitable AI Landscape
• Course Conclusion
Recap of Key Learnings
Final Project Presentation and Feedback
Next Steps for Continued Learning in AI Ethics
• Additional Resources
Recommended Readings and Media
Tools and Platforms for Practicing AI Ethics
Community and Networking Opportunities

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נושאים

Conference Talks